Airbyte 1.0, Marketplace, AI Assist, GenAI Support and Enterprise GA
Hi HN friends! We can hardly believe it’s been almost four years since our original HN launch (https://news.ycombinator.com/item?id=25917403). What started as a small project has grown way beyond what we imagined, with over 170,000 deployments and 7,000 companies using Airbyte daily. When we started Airbyte, our mission was simple (though not easy): to solve data movement once and for all. Today feels like a big step toward that goal with the release of Airbyte 1.0 (https://airbyte.com/v1). Reaching this milestone wasn’t a solo effort. It’s taken an incredible…
In plain words
Airbyte is a data movement platform that automates the transfer of data between different systems and applications. It serves data engineers, analytics teams, and organizations managing data integration workflows. The 1.0 release includes over 1,200 community-contributed connectors, AI-assisted configuration capabilities, enterprise support options, and a marketplace for extensions, emphasizing improved reliability and performance for diverse deployment scenarios.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN friends! We can hardly believe it’s been almost four years since our original HN launch (https://news.ycombinator.com/item?id=25917403). What started as a small project has grown way beyond what we imagined, with over 170,000 deployments and 7,000 companies using Airbyte daily. When we started Airbyte, our mission was simple (though not easy): to solve data movement once and for all. Today feels like a big step toward that goal with the release of Airbyte 1.0 (https://airbyte.com/v1). Reaching this milestone wasn’t a solo effort. It’s taken an incredible amount of work from the whole community and the feedback we’ve received from many of you along the way. We had three goals to reach 1.0: - Broad deployments to cover all major use cases, supported by over 1,200 community contributions. - Reliability and performance improvements (this has been a huge focus for the past year). - Making sure Airbyte fits with your existing production workflow – from Python scripts to Terraform, API, and UI interfaces. It’s been quite the journey, and we’re excited to say we’ve hit those marks! But there’s actually more to Airbyte 1.0! - An AI Assistant to help you build connectors in minutes. Just give it the API docs, and you’re good to go. We’ve also added support for GraphQL APIs to our Connector Builder. - The Connector Marketplace: You can now easily contribute connectors or make changes directly from the no-code/low-code builder. Every connector in the marketplace is editable, and we’ve added usage and confidence scores to help gauge reliability. - Airbyte Self-Managed Enterprise generally available: it comes with everything you get from the open-source version, plus enterprise-level features like premium support with SLA, SSO, RBAC, multiple workspaces, advanced observability, and enterprise connectors for Netsuite, Workday, Oracle, and more. - Airbyte can now power your RAG / GenAI workflows without limitations, through its support of unstructured data sources, vector databases, and new mapping capabilities. It also converts structured and unstructured data into documents for chunking, along with embedding support for Cohere and OpenAI. There’s a lot more coming, and we’d love to hear your thoughts! If you’re curious, check out our launch keynote (https://airbyte.com/v1) and let us know what you think – are there features we could improve? Areas we should explore next? We’re all ears. Thanks for being part of this journey!
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, September 2024
the whole month →

BeforeSunset AI 2.0▲1,267Personalized AI daily planning that suits your life
AI · 2024 · beforesunset.ai


